Target Up And Up Morning Facial Moisturizing With Sunscreen Broad Spectrum Spf 30 Lotion
Product Images NDC 11673-239

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Target Up And Up Morning Facial Moisturizing With Sunscreen Broad Spectrum Spf 30 (NDC 11673-239). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Target Corporation, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

82910e1f3 (82910e1f3)

The Up & Up Morning Facial Moisturizing Lotion with Sunscreen is a lotion designed for normal to dry skin. It helps restore and maintain the skin’s natural protective barrier. The lotion is broad spectrum with SPF 30, and dermatologist tested. The lotion is nonirritating and won't clog pores. It contains ceramides, niacinamide, and hyaluronic acid to nourish, hydrate and protect the skin. The ingredients used in the lotion include homosalate, octocrylene, zinc oxide, water, niacinamide, and many more. The lotion should be applied 15 minutes before sun exposure, and reapplied at least every 2 hours. The product is distributed by Target Corporation.*

FDA Label Image

82910k4 (82910k4)

This is a description of a facial moisturizing lotion with broad spectrum SPF 30 protection. It is designed to restore natural moisture barriers, while nourishing, rejuvenating, and protecting skin with ceramides, niacinamide, and hyaluronic acid. The lotion should be applied generously 15 minutes before sun exposure and reapplied at least every 2 hours. It is non-irritating and suitable for normal to dry skin, and is comparable to CeraVe's AM Facial Moisturizing Lotion. The lotion comes in a 3 fl oz (89 mL) bottle and is distributed by Target Corporation.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.